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Merge pull request #901 from raphael0202/train_ud

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Split CONLLX file using tabs and not default split separators
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Matthew Honnibal 2017-03-21 23:39:45 +01:00 committed by GitHub
commit f4010053a6
1 changed files with 3 additions and 8 deletions
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11
bin/parser/train_ud.py
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@ -1,18 +1,13 @@
from __future__ import unicode_literals
import plac
import json
from os import path
import shutil
import os
import random
import io
import pathlib
from spacy.tokens import Doc
from spacy.syntax.nonproj import PseudoProjectivity
from spacy.language import Language
from spacy.gold import GoldParse
from spacy.vocab import Vocab
from spacy.tagger import Tagger
from spacy.pipeline import DependencyParser, BeamDependencyParser
from spacy.syntax.parser import get_templates
@ -23,7 +18,6 @@ import spacy.attrs
import io
def read_conllx(loc, n=0):
with io.open(loc, 'r', encoding='utf8') as file_:
text = file_.read()
@ -35,7 +29,8 @@ def read_conllx(loc, n=0):
lines.pop(0)
tokens = []
for line in lines:
id_, word, lemma, pos, tag, morph, head, dep, _1, _2 = line.split()
id_, word, lemma, pos, tag, morph, head, dep, _1, \
_2 = line.split('\t')
if '-' in id_ or '.' in id_:
continue
try:
@ -134,7 +129,7 @@ def main(lang_name, train_loc, dev_loc, model_dir, clusters_loc=None):
random.shuffle(train_sents)
scorer = score_model(vocab, tagger, parser, read_conllx(dev_loc))
print('%d:\t%.3f\t%.3f\t%.3f' % (itn, loss, scorer.uas, scorer.tags_acc))
nlp = Language(vocab=vocab, tagger=tagger, parser=parser)
nlp = LangClass(vocab=vocab, tagger=tagger, parser=parser)
nlp.end_training(model_dir)
scorer = score_model(vocab, tagger, parser, read_conllx(dev_loc))
print('%d:\t%.3f\t%.3f\t%.3f' % (itn, scorer.uas, scorer.las, scorer.tags_acc))